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Analysis of the complex self-organization of an ant colony clustering algorithm
Pan, Yinghui ; Luo, Jian ; Wang, Q ; Chen, G ; Yan, G ; Zhang, X ; Jianguo, XL ; Huang, L ; Wu, B ; Luo J(罗键)
2007
关键词OPTIMIZATION
英文摘要In the ant colony clustering algorithm, the behavior of a single ant is simple while the cluster of ants shows complex behavior. In this paper, one kind of these algorithms-pheromone-based K-means algorithm is proposed and proved to be in the category of complex system. The characteristics of distribution and self-organized mechanism of ant colony system is analyzed deeply based on the principle of complex system for the enlightenment in the fields of management science.
语种英语
内容类型期刊论文
源URL[http://dspace.xmu.edu.cn/handle/2288/71036]  
专题信息技术-已发表论文
推荐引用方式
GB/T 7714
Pan, Yinghui,Luo, Jian,Wang, Q,et al. Analysis of the complex self-organization of an ant colony clustering algorithm[J],2007.
APA Pan, Yinghui.,Luo, Jian.,Wang, Q.,Chen, G.,Yan, G.,...&罗键.(2007).Analysis of the complex self-organization of an ant colony clustering algorithm..
MLA Pan, Yinghui,et al."Analysis of the complex self-organization of an ant colony clustering algorithm".(2007).
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